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Solid foundation in machine learning algorithms, natural language processing, and statistical modeling. Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.
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Towers Crescent (12066), United States of America, Vienna, VirginiaSenior Machine Learning Engineer (Remote-Eligible)As a Capital One Machine Learning Engineer (MLE), you.
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Familiarity with machine learning and artificial intelligence. As a Director, Software Engineer - Platform Development, you will lead and inspire a team of talented software engineers to build and maintain robust, scalable, and high-performance platform solutions.
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In this rare opportunity, you will have the chance to conduct cutting-edge Machine Learning research to help enhance localization and global entertainment at Netflix. We are looking for an experienced Research Engineer with established track records in Multilingual Live Caption and Translation technologies to develop and productize algorithms that power high quality localization at scale.
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Good understanding of Machine Learning and Deep Learning technologies. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies are in healthcare, NLP, VR, deep learning, autonomous vehicles and countless others.
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Collaborate with systems engineering and product development teams and apply a systems mindset to develop and evaluate designs from a design input requirements / design outputs perspective that span across multiple product interfaces like electro-mechanical, electro-chemical sensors, embedded firmware and machine learning algorithms.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. If you are someone who is proactive, inquisitive, and innovative in these domains, this is a phenomenal role for you Basic Qualification: WHAT YOU'LL DO Drive ground-breaking innovation and apply state of the art machine learning in a variety of areas to boost in every aspect of advertising, including inventory forecasting, planning, pricing, targeting, decisioning, and efficient ad delivery.
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Electrical engineering, electronic engineering, informatic, machine learning, malware, photonics, programming, python, robotics. The team will be focused on heavily leveraging machine learning to marry perception, prediction, and action to produce robust, reactive, coordinated robot behaviors, bootstrapping from simulation, leveraging large amounts of data, and adapting in real world scenarios.
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Expert Python developer using many different machine learning and data science frameworks. Knowledge in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods.
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Strong experience in specialized areas such as Machine Learning, Deep Learning, NLP, Recommendation Systems, Gen AI. Experience with popular Machine Learning technologies such as ScikitLearn, TensorFlow, Kera etc.
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For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience.
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We're seeking research scientists and engineers to create breakthrough innovationsin computer vision, machine learning, robotics, computer graphics, and related areas. We are a team of best-in-the-world research scientists and engineers with deepexperience in computer vision, machine learning, robotics, computer graphics, andrelated areas.
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4+ years experience in one of those fields: Machine Learning, NLP, or CV, or ML Systems. We're commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning.
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10+ years of professional experience applying statistics, predictive modeling, and machine learning techniques to solve business problems. Implementing best technical practices from the fields of machine learning and software engineering.
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Experience incorporating Artificial Intelligence or Machine Learning into internet scale applications. As a Site Reliability Engineer you will be embedded with a cross functional team who has key responsibilities for certain portions of our systems.
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machine learning engineer jobs in Arlington, TX
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